Curve Fitting by Rational Cubic Bezier with C1 and G1 Continuity using Metaheuristics Methods

被引：1

作者：

Mohamed, Najihah ^{[1
]}

Ramli, Ahmad Lutfi Amri ^{[2
]}

Abd Majid, Ahmad ^{[2
]}

Piah, Abd Rahni Mt ^{[3
]}

机构：

[1] Univ Malaysia Pahang, Fac Ind Sci & Technol, Kuantan 26300, Pahang, Malaysia

[2] Univ Sains Malaysia, Sch Math Sci, Usm 11800, Penang, Malaysia

[3] DRB HICOM Univ Automot Malaysia, Postgrad Ctr, Pekan 26607, Pahang, Malaysia

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH 2018): INNOVATIVE TECHNOLOGIES FOR MATHEMATICS & MATHEMATICS FOR TECHNOLOGICAL INNOVATION | 2019年 / 2184卷

关键词：

D O I：

10.1063/1.5136469

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Rational cubic Bezier curves are used to approximate the data sets while minimizing the least-squares error function using different metaheuristics algorithms. Those metaheuristics algorithms are Harmony Search, Genetic Algorithm, Particle Swarm Optimization and Modified Harmony Search. This scheme is implemented with continuity of C-1 and G(1). The comparative and analysis behaviour between the two conditions for the curve fitting on four outline of the test images boundary will be discussed. Based on the analysis, Modified Harmony Search algorithms is more stable, accurate and precise compared to other algorithms, and G(1) continuity condition leads to a better curve fit compared to C-1.

引用

页数：10

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